Trading Algorithm & Financial Portfolio Optimization with Python Course Overview

The "Trading Algorithm & Financial Portfolio Optimization with Python" course is designed to equip learners with the skills necessary to apply Python programming to financial markets. It delves into algorithmic trading and portfolio optimization using Python's powerful libraries.

Module 1 lays the foundation by introducing Python and its installation across different operating systems. It guides students through the basics of using Python IDLE and the differences between interactive and scripting modes.

As learners progress, they encounter NumPy and Pandas in Modules 2 and 3, which are critical for numerical and data analysis. Module 4 imparts knowledge on data visualization, a vital skill for interpreting financial data.

Real-world financial data handling is explored in Module 5, while Module 6 focuses on time series analysis with Pandas, essential for historical market data analysis.

Modules 7 and 8 delve deeper into time series forecasting, introducing learners to advanced statistical models like ARIMA.

Module 9 covers foundational finance concepts such as the Sharpe ratio, portfolio optimization, and the Capital Asset Pricing Model (CAPM).

In Module 10, the course transitions into the realm of trading algorithms, exploring strategies, leverage, and hedging, along with portfolio analysis using PyFolio.

Finally, Module 11 provides a practical introduction to Quantopian, a platform for designing and testing trading algorithms.

Overall, this course is a comprehensive journey through the intersection of finance and Python programming, enabling learners to create and optimize trading strategies algorithmically.